New Query In Excel 2010

"The large data platform installed in Windows Server and System Center is called Microsoft Hdinsight Server and is installed on Windows Azure by the Microsoft Hdinsight Service" This definition comes from an MSDN blog, which may seem abstract, TechEd 2012 Technical Conference site, Microsoft Asia Pacific Research and Development Group chief technology Officer Sun Boke's speech, for everyone demo demo Hdinsight ...

After 1998-2003 years of the first wave and the 2003-2008 second wave of accumulation, as well as software, mobile communications, mobile terminals in recent years, the rapid development of three modern information technology, especially in recent years cloud computing surging, since 2011, domestic CRM in the concept, technology, products, Application and so on increasingly mature, China's CRM market is now fully ushered in the third wave, set off a new CRM application revolution. 3G, let CRM "move" up and down the emergence of CRM, changed the past customer information dispersed, customer management ...

The large data in the wall are registered as dead data. Large data requires open innovation, from data openness, sharing and trading, to the opening of the value extraction ability, then to the foundation processing and analysis of the open platform, so that the data as the blood in the body of the data society long flow, moisture data economy, so that more long tail enterprises and data thinking innovators have a colorful chemical role, 　　To create a golden age of big data. My large data research trajectory I have been 4-5 years of mobile architecture and Java Virtual Machine, 4-5 years of nuclear architecture and parallel programming system, the last 4-5 years also in pursuit ...

With the upsurge of large data, there are flood-like information in almost every field, and it is far from satisfying to do data processing in the face of thousands of users ' browsing records and recording behavior data. But if only some of the operational software to analyze, but not how to use logical data analysis, it is also a simple data processing. Rather than being able to go deep into the core of the planning strategy. Of course, basic skills is the most important link, want to become data scientists, for these procedures you should have some understanding: ...

With the upsurge of large data, there are flood-like information in almost every field, and it is far from satisfying to do data processing in the face of thousands of users ' browsing records and recording behavior data. But if only some of the operational software to analyze, but not how to use logical data analysis, it is also a simple data processing. Rather than being able to go deep into the core of the planning strategy. Of course, basic skills is the most important link, want to become data scientists, for these procedures you should have some understanding: ...

With the upsurge of large data, there are flood-like information in almost every field, and it is far from satisfying to do data processing in the face of thousands of users ' browsing records and recording behavior data. 　　But if only some of the operational software to analyze, but not how to use logical data analysis, it is also a simple data processing. 　　Rather than being able to go deep into the core of the planning strategy. Of course, basic skills is the most important link, want to become data scientists, for these procedures you should have some understanding ...

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

Microsoft Global Senior vice President, Microsoft (China) Co., Ltd. Chairman Zhang 20th blog "Cloud and large data is expected to lead to subversive innovation", the article proposed that cloud computing and large data combination will be the future of political, economic, scientific and technological, people's livelihood has been difficult to assess the impact. Whether it is to do the hardware, platform, or to do the application, to do the service, in the final analysis is the data as the core, data as the driving force to enhance the product to the user's gravity, strengthen the competitiveness of enterprises, to create new business opportunities. The full text reads as follows: September 2008-July 2009, I have used the spare time, will oneself ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technical Hall task request: October 18, 2010 Noon 12:00, the beginning task second phase task begins, the task is as follows, carries on the data collection collation and the analysis to all link platforms under the current network. Mission Objective: This task is mainly to exercise our is a few forces: executive force, endurance, analysis ability, hardship ability, this is a test of a person's work is not patient, will not do things, in the process of collecting, always copy, paste these boring and heavy ...

As global corporate and personal data explode, data itself is replacing software and hardware as the next big "oil field" driving the information technology industry and the global economy. Compared with the fault-type information technology revolution such as PC and Web, the biggest difference of large data is that it is a revolution driven by "open source software". From giants such as IBM and Oracle to big data start-ups, the combination of open source software and big data has produced astonishing industrial subversion, and even VMware's past reliance on proprietary software has embraced big Open-source data ...